| Issue |
E3S Web Conf.
Volume 252, 2021
2021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
|
|
|---|---|---|
| Article Number | 01036 | |
| Number of page(s) | 4 | |
| Section | Power Control Technology and Smart Grid Application | |
| DOI | https://doi.org/10.1051/e3sconf/202125201036 | |
| Published online | 23 April 2021 | |
Substation DC system grounding fault prediction method
Wenshan Power Supply Bureau of Yunnan Power Grid Co., Ltd., Wenshan, Yunnan, 663000, China
* Corresponding author’s e-mail: zhoudan@zjut.edu.cn
There may be disturbance and uncertainty in the collection of leakage current in DC system of substation, which leads to the decrease of accuracy and increase of prediction error. Based on this, an improved grey prediction method is proposed to predict DC system branch grounding fault. Firstly, the characteristics of DC system ground fault parameters are collected. Secondly, the improved grey prediction algorithm is used to predict and estimate whether the detection reaches the fault threshold in the future. Finally, the validity of the proposed method is verified by MATLAB modeling.
© The Authors, published by EDP Sciences, 2021
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